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Testing Strategy for DocuNote

Overview

This document outlines the comprehensive testing strategy for the DocuNote application, including unit tests, integration tests, and end-to-end tests.

Testing Pyramid

                    /\
                   /  \
                  / E2E \
                 /--------\
                /          \
               / Integration \
              /--------------\
             /                \
            /   Unit Tests     \
           /____________________\

Test Categories

1. Unit Tests

  • Individual functions and components
  • AI flow logic
  • Utility functions
  • Type validation

2. Integration Tests

  • Server actions with AI flows
  • File parsing with content extraction
  • URL scraping with content retrieval
  • Component interactions

3. End-to-End Tests

  • Complete user workflows
  • Multi-source interactions
  • Theme generation flow
  • Error handling scenarios

Testing Tools

  • Jest: Unit and integration testing
  • React Testing Library: Component testing
  • Playwright: E2E testing
  • MSW (Mock Service Worker): API mocking
  • Jest-DOM: Custom matchers

Test Coverage Goals

  • Unit Tests: 80%+ coverage
  • Integration Tests: 70%+ coverage
  • E2E Tests: Critical paths covered
  • Overall: 75%+ coverage

Testing Environments

  1. Local Development: Run tests during development
  2. CI/CD: Automated testing on every commit
  3. Pre-deployment: Full test suite before production
  4. Production Monitoring: Synthetic tests in production

Test Data Management

Test Files Location

test-files/
├── sample-article.txt
├── company-policies.txt
├── recipe-collection.txt
└── machine-learning-guide.html

Mock Data

__tests__/__mocks__/
├── mockFiles.ts
├── mockUrls.ts
├── mockAIResponses.ts
└── mockThemes.ts

Testing Scenarios

Scenario 1: File Upload and Processing

Given: User has no sources uploaded When: User uploads a .txt file Then:

  • File appears in sidebar
  • Content is extracted correctly
  • AI can answer questions about the file

Scenario 2: URL Scraping

Given: User wants to add a webpage as source When: User enters a valid URL Then:

  • URL is scraped successfully
  • Title and content are extracted
  • Source appears in sidebar
  • AI can use the scraped content

Scenario 3: Multi-Source Q&A

Given: User has uploaded 2 files and 1 URL When: User asks a question spanning multiple sources Then:

  • AI synthesizes information from all sources
  • Response is accurate and relevant
  • Sources are appropriately referenced

Scenario 4: Error Handling

Given: User attempts to scrape an invalid URL When: Scraping fails Then:

  • Error toast is displayed
  • Source is not added to list
  • Application remains stable

Scenario 5: Theme Generation

Given: User wants a custom theme When: User enters a theme prompt Then:

  • AI generates appropriate colors
  • Theme is applied to the interface
  • Theme persists during session

Scenario 6: Source Management

Given: User has multiple sources When: User removes a source Then:

  • Source is removed from list
  • AI no longer uses that source
  • Other sources remain intact

Performance Benchmarks

Operation Target Acceptable
File upload (<1MB) <500ms <1s
URL scraping <3s <5s
AI response <5s <10s
Theme generation <3s <5s
PDF parsing (<5MB) <2s <5s

Accessibility Testing

  • WCAG 2.1 AA Compliance
  • Keyboard navigation
  • Screen reader compatibility
  • Color contrast ratios
  • Focus management

Security Testing

  • Input sanitization
  • XSS prevention
  • CSRF protection
  • API key security
  • File upload validation

Browser Compatibility

Supported Browsers

  • Chrome 90+
  • Firefox 88+
  • Safari 14+
  • Edge 90+

Mobile Browsers

  • iOS Safari 14+
  • Chrome Mobile 90+
  • Samsung Internet 14+

Continuous Integration

Pre-commit Hooks

  • Linting
  • Type checking
  • Unit tests

Pull Request Checks

  • All tests pass
  • Coverage maintained
  • No security vulnerabilities
  • Build succeeds

Deployment Pipeline

  • Run full test suite
  • E2E tests in staging
  • Performance benchmarks
  • Security scan

Test Maintenance

Regular Tasks

  • Update test data quarterly
  • Review and update mocks
  • Verify external URLs still work
  • Update browser targets
  • Review coverage reports

When to Update Tests

  • When adding new features
  • When fixing bugs
  • When refactoring code
  • When API contracts change

Reporting

Metrics to Track

  • Test execution time
  • Pass/fail rates
  • Code coverage trends
  • Flaky test identification
  • Performance regression

Reports Generated

  • Daily: CI/CD results
  • Weekly: Coverage reports
  • Monthly: Quality metrics
  • Quarterly: Testing effectiveness

Last Updated: October 7, 2025 Version: 1.0.0